Challenger Mishra

About Challenger Mishra

Challenger Mishra, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Theoretical Physics, String Theory, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Physical Yukawa Couplings in Heterotic String Compactifications

Learning to be Simple

Mathematical conjecture generation using machine intelligence

Machine Learning for Optical Motion Capture-Driven Musculoskeletal Modelling from Inertial Motion Capture Data

Predicting ruthenium catalysed hydrogenation of esters using machine learning

A physics-informed search for metric solutions to Ricci flow, their embeddings, and visualisation

Machine Learned Calabi-Yau Metrics and Curvature

Machine learning for musculoskeletal modeling of upper extremity

Challenger Mishra Information

University

Position

___

Citations(all)

341

Citations(since 2020)

299

Cited By

145

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Challenger Mishra Skills & Research Interests

Theoretical Physics

String Theory

Machine Learning

Top articles of Challenger Mishra

Physical Yukawa Couplings in Heterotic String Compactifications

arXiv preprint arXiv:2401.15078

2024/1/26

Learning to be Simple

arXiv preprint arXiv:2312.05299

2023/12/8

Vishnu Jejjala
Vishnu Jejjala

H-Index: 12

Challenger Mishra
Challenger Mishra

H-Index: 6

Mathematical conjecture generation using machine intelligence

arXiv preprint arXiv:2306.07277

2023/6/12

Machine Learning for Optical Motion Capture-Driven Musculoskeletal Modelling from Inertial Motion Capture Data

Bioengineering

2023/4/24

Predicting ruthenium catalysed hydrogenation of esters using machine learning

Digital Discovery

2023

A physics-informed search for metric solutions to Ricci flow, their embeddings, and visualisation

arXiv preprint arXiv:2212.05892

2022/11/30

Challenger Mishra
Challenger Mishra

H-Index: 6

Machine Learned Calabi-Yau Metrics and Curvature

arXiv preprint arXiv:2211.09801

2022/11/17

Machine learning for musculoskeletal modeling of upper extremity

IEEE Sensors Journal

2022/8/16

Neural network approximations for Calabi-Yau metrics

Journal of High Energy Physics

2022/8

Vishnu Jejjala
Vishnu Jejjala

H-Index: 12

Challenger Mishra
Challenger Mishra

H-Index: 6

Baryons as solitons in the meson spectrum: A machine learning perspective

International Journal of Modern Physics A

2022/2/28

Discrete symmetries of complete intersection Calabi–Yau manifolds

Communications in Mathematical Physics

2020/11

Challenger Mishra
Challenger Mishra

H-Index: 6

See List of Professors in Challenger Mishra University(University of Cambridge)

Co-Authors

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